【摘要】 文本挖掘及可视化技术是数字人文研究中最常使用的方法和手段，在海量文本挖掘、分析过程中，可视化技术的作用尤为明显。文章从陕西科技大学口述历史档案资源的深层次开发与利用出发，以转录、编辑之后的口述历史文本资料为研究对象，运用文本挖掘技术提取人物、时间、地点、事件信息，利用自然语言分析工具和数据可视化软件构建关键词词云、实体共现矩阵和地理标签云图对口述历史档案资源进行研究，提出了口述历史档案资源可视化呈现的具体方法，转变了口述历史档案资源组织、管理、利用方式与层次，推动口述历史档案资源体系建设，为深度分析西迁精神提供了新的视野，对西迁精神的传承和文化传播发挥着重要的作用。更多还原

【Abstract】 Text mining and visualization technology are the most commonly used methods and means in digital humanities research.The role of visualization technology is particularly obvious in the process of massive text mining and analysis. Starting from the in-depth development and utilization of oral historical archives resources of Shaanxi University of Science and Technology and taking the transcribed and edited oral historical text data as the research subject, this paper uses text mining technology to extract the information of people, time, place and events. It uses natural language analysis tools and data visualization software to construct keyword cloud, entity co-occurrence matrix and geographic tag cloud map to study oral historical archives resources. This paper also puts forward the specific method of visual presentation of oral historical archives resources, changes the organization,management and utilization mode and level of oral historical archives resources, and promotes the construction of oral historical archives resources system, providing a new perspective for the in-depth analysis of the spirit of westward migration and playing an important role in the inheritance and cultural dissemination of the spirit of westward migration.更多还原